Wood species recognition system based on improved basic grey level aura matrix as feature extractor
An automated wood species recognition system is designed to perform wood inspection at custom checkpoints in order to avoid illegal logging. The system that includes image acquisition, feature extraction and classification is able to classify the 52 wood species. There are 100 images taken from th...
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| Format: | Article |
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Atlantis Press
2016
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| author | Paiz Zamri, Mohd. Iza'an Mohd. Khairuddin, Anis Salwa Mokhtar, Norrima Yusof, Rubiyah |
| author_facet | Paiz Zamri, Mohd. Iza'an Mohd. Khairuddin, Anis Salwa Mokhtar, Norrima Yusof, Rubiyah |
| author_sort | Paiz Zamri, Mohd. Iza'an |
| collection | ePrints |
| description | An automated wood species recognition system is designed to perform wood inspection at custom checkpoints in order to avoid illegal logging. The system that includes image acquisition, feature extraction and classification is able to classify the 52 wood species. There are 100 images taken from the each wood species is then divided into training and testing samples for classification. In order to differentiate the wood species precisely, an effective feature extractor is necessary to extract the most distinguished features from the wood surface. In this research, an Improved Basic Grey Level Aura Matrix (I-BGLAM) technique is proposed to extract 136 features from the wood image. The technique has smaller feature dimension and is rotational invariant due to the considered significant feature extract from the wood image. Support vector machine (SVM) is used to classify the wood species. The proposed system shows good classification accuracy compared to previous works. |
| first_indexed | 2024-03-05T19:58:10Z |
| format | Article |
| id | utm.eprints-66926 |
| institution | Universiti Teknologi Malaysia - ePrints |
| last_indexed | 2024-03-05T19:58:10Z |
| publishDate | 2016 |
| publisher | Atlantis Press |
| record_format | dspace |
| spelling | utm.eprints-669262017-11-20T08:52:05Z http://eprints.utm.my/66926/ Wood species recognition system based on improved basic grey level aura matrix as feature extractor Paiz Zamri, Mohd. Iza'an Mohd. Khairuddin, Anis Salwa Mokhtar, Norrima Yusof, Rubiyah T Technology TK Electrical engineering. Electronics Nuclear engineering An automated wood species recognition system is designed to perform wood inspection at custom checkpoints in order to avoid illegal logging. The system that includes image acquisition, feature extraction and classification is able to classify the 52 wood species. There are 100 images taken from the each wood species is then divided into training and testing samples for classification. In order to differentiate the wood species precisely, an effective feature extractor is necessary to extract the most distinguished features from the wood surface. In this research, an Improved Basic Grey Level Aura Matrix (I-BGLAM) technique is proposed to extract 136 features from the wood image. The technique has smaller feature dimension and is rotational invariant due to the considered significant feature extract from the wood image. Support vector machine (SVM) is used to classify the wood species. The proposed system shows good classification accuracy compared to previous works. Atlantis Press 2016-01-12 Article PeerReviewed Paiz Zamri, Mohd. Iza'an and Mohd. Khairuddin, Anis Salwa and Mokhtar, Norrima and Yusof, Rubiyah (2016) Wood species recognition system based on improved basic grey level aura matrix as feature extractor. Journal of Robotics Networking and Artificial Life, 3 (3). pp. 140-143. ISSN 2352-6386 http://www.atlantis-press.com/publications/jrnal/index_jrnal.html?http%3A//www.atlantis-press.com/php/toc.php%3Fpublication%3Djrnal |
| spellingShingle | T Technology TK Electrical engineering. Electronics Nuclear engineering Paiz Zamri, Mohd. Iza'an Mohd. Khairuddin, Anis Salwa Mokhtar, Norrima Yusof, Rubiyah Wood species recognition system based on improved basic grey level aura matrix as feature extractor |
| title | Wood species recognition system based on improved basic grey level aura matrix as feature extractor |
| title_full | Wood species recognition system based on improved basic grey level aura matrix as feature extractor |
| title_fullStr | Wood species recognition system based on improved basic grey level aura matrix as feature extractor |
| title_full_unstemmed | Wood species recognition system based on improved basic grey level aura matrix as feature extractor |
| title_short | Wood species recognition system based on improved basic grey level aura matrix as feature extractor |
| title_sort | wood species recognition system based on improved basic grey level aura matrix as feature extractor |
| topic | T Technology TK Electrical engineering. Electronics Nuclear engineering |
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